Object recognition has made great advances in the last decade, but predominately still relies
on many high-quality training examples per object category. In contrast, learning new …

Artificial Intelligence (AI) for accessibility is a rapidly growing area, requiring datasets that
are inclusive of the disabled users that assistive technology aims to serve. We offer insights …

Teachable object recognizers provide a solution for a very practical need for blind people–
instance level object recognition. They assume one can visually inspect the photos they …

Few-shot classification is the ability to adapt to any new classification task from only a few
training examples. The performance of current top-performing fewshot classifiers varies …

Meta-Learning (ML) has proven to be a useful tool for training Few-Shot Learning (FSL)
algorithms by exposure to batches of tasks sampled from a meta-dataset. However, the …